Line up the basics — discover several different approaches to organizing numbers and equations, and solve systems of equations algebraically or with matrices Relate vectors and linear transformations — link vectors and matrices with ...
Numerical Linear Algebra is a concise, insightful, and elegant introduction to the field of numerical linear algebra.
Covers determinants, linear spaces, systems of linear equations, linear functions of a vector argument, coordinate transformations, the canonical form of the matrix of a linear operator, bilinear and quadratic forms, Euclidean spaces, ...
However the book is logically self-contained. In this new edition, many parts of the book have been rewritten and reorganized, and new exercises have been added.
"This book is intended for first- and second-year undergraduates arriving with average mathematics grades ... The strength of the text is in the large number of examples and the step-by-step explanation of each topic as it is introduced.
In addition to thorough coverage of linear equations, matrices, vector spaces, game theory, and numerical analysis, the Second Edition features student-friendly additions that enhance the book's accessibility, including expanded topical ...
In short, this is material that many of us wish we had been taught as graduate students. Roughly the first third of the book covers the basic material of a first course in linear algebra.
(60349-0) Lie Algebras, Nathan Jacobson. (63832-4) Greek Mathematical Thought and the Origin of Algebra, Jacob Klein. (27289-3) Theory and Application of 1nfinite Series, Konrad Knopp. (66165-2) Applied Analysis, Cornelius Lanczos.
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
This is a short text in linear algebra, intended for a one-term course.